mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-30 18:47:42 +00:00
24 lines
2.2 KiB
Plaintext
24 lines
2.2 KiB
Plaintext
|
ó
|
|||
|
|
šd£i÷ ã óÞ • % S r SSKJr SSKJr \( a SSKJr 0 SS_SS_S S
|
|||
|
|
_S S _S
|
|||
|
|
S_SS_SS_SS_SS_SS_SS_SS _S S _S S _S!S _S"S#_S$S_SS
|
|||
|
|
S%S&S&S'S(S)S*S+S,S-S.S/S0S1.ErS2\S3' S6S4 jr g5)7aY pandas-ta compatibility aliases.
|
|||
|
|
|
|||
|
|
Maps pandas-ta function names to quantalib equivalents where signatures
|
|||
|
|
overlap. Import ``from quantalib._compat import ALIASES`` then look up
|
|||
|
|
the target function in ``quantalib.indicators``.
|
|||
|
|
|
|||
|
|
Usage::
|
|||
|
|
|
|||
|
|
from quantalib._compat import get_compat
|
|||
|
|
fn = get_compat("midprice") # returns indicators.medprice
|
|||
|
|
é )Ú annotations)Ú
|
|||
|
|
TYPE_CHECKING)ÚCallableÚmidpriceÚmedpriceÚ
|
|||
|
|
typical_priceÚtyppriceÚ
|
|||
|
|
average_priceÚavgpriceÚmid_bodyÚmidbodyÚmomentumÚmomÚsimple_moving_averageÚsmaÚweighted_moving_averageÚwmaÚhull_moving_averageÚhmaÚtriangular_moving_averageÚtrimaÚexponential_moving_averageÚemaÚ!double_exponential_moving_averageÚdemaÚ!triple_exponential_moving_averageÚtemaÚ least_squares_moving_averageÚlsmaÚtime_series_forecastÚtsfÚlinregÚsinwmaÚsinemaÚhl2ÚtrÚstddevÚobvÚpvtÚvwmaÚmfiÚcmfÚeomÚbbandsÚaberrÚzscoreÚbutter2)Úhlc3Úohlc4Ú
|
|||
|
|
true_rangeÚstandard_deviationÚstdevÚon_balance_volumeÚprice_volume_trendÚ volume_weighted_moving_averageÚmoney_flow_indexÚchaikin_money_flowÚease_of_movementÚbollinger_bandsÚ
|
|||
|
|
aberrationÚz_scoreÚ butterworthzdict[str, str]ÚALIASESc óX • SSK Jn [ R U 5 nUc g[ XS5 $ )z=Resolve a pandas-ta alias to the quantalib function, or None.é )Ú
|
|||
|
|
indicatorsN)Ú rD rA ÚgetÚgetattr)ÚnamerD Útargets Ú/C:\github\quantalib\python\quantalib\_compat.pyÚ
|
|||
|
|
get_compatrK A s( € å ä
|
|||
|
|
�[‰[˜Ó
|
|||
|
|
€FØ
|